102 matches found
EUVD-2025-76316
Malicious code in meanarmadillo-apptea npm...
Malicious code in mean_felidae_z3n (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector ca91cc3fdb95bc04f29fa01595dd9cb93397dc7492d2b67425b10ec0ba4afb28 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
EUVD-2025-78823
Malicious code in meanfelidaez3n npm...
MAL-2025-105731 Malicious code in mean_felidae_z3n (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector ca91cc3fdb95bc04f29fa01595dd9cb93397dc7492d2b67425b10ec0ba4afb28 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
Malicious code in mean_boa_z3n (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 9eb448d8608ccc08755295635c30601bc08b266e096a18efcef7f0ab0a4ef544 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
EUVD-2025-81267
Malicious code in meanaardvarkdumbs npm...
Malicious code in mean_gopher_z3n (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 65a3088c055df192df82c1017798f441d6192dae03fd815704ec6451965f96dd This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
EUVD-2025-84744
Malicious code in meancaterpillarz3n npm...
MAL-2025-79998 Malicious code in mean_stoat_z3n (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector a4133cf92042992bb97df3b3c142e5d0a9bce4d4e9afd17dbfec81b5f40f65da This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
EUVD-2025-53316
Malicious code in mean-indigo-ocelot npm...
EUVD-2025-53315
Malicious code in mean-lavender-louse npm...
MAL-2025-69333 Malicious code in mean-indigo-ocelot (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 8fb84664495c91023ad22cea576ed9438a8120d83b8a0c9420b6d66a6f6d0ed5 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
MAL-2025-69334 Malicious code in mean-lavender-louse (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector b52a837ad873b655c58edf67bed3a3bf07ccbd2be99f953fc0a9309c81efda23 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
Malicious code in mean-lavender-louse (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector b52a837ad873b655c58edf67bed3a3bf07ccbd2be99f953fc0a9309c81efda23 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
Malicious code in mean-indigo-ocelot (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 8fb84664495c91023ad22cea576ed9438a8120d83b8a0c9420b6d66a6f6d0ed5 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
Malicious code in mean-tomato-clownfish (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 9757aeb8c3af186297585679201392f9a4d9d6c26e54506e23a79b080df695b4 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...
EUVD-2025-53314
Malicious code in mean-tomato-clownfish npm...
Binary and Multiclass Cyberattack Classification on GeNIS Dataset
The integration of Artificial Intelligence AI in Network Intrusion Detection Systems NIDS is a promising approach to tackle the increasing sophistication of cyberattacks. However, since Machine Learning ML and Deep Learning DL models rely heavily on the quality of their training data, the lack of...
How to Automate Cyber Risk Remediation: A Playbook
Trying to manage modern cyber risk with manual processes is like trying to empty the ocean with a bucket. Your team works hard, but the sheer volume of vulnerabilities makes it feel like you’re barely making a dent. You close one ticket, and ten more appear. This approach is unsustainable and...
Attack Surface Exposures: A Practical Guide
Many security teams believe their existing tools have them fully covered. With a firewall, endpoint protection, and a vulnerability scanner, it’s easy to assume you can see everything that matters. This is one of the most dangerous myths in cybersecurity today. These tools often operate in silos,...